Smart Job Scheduling Model for Cloud Computing Network Application


연구 분야: Networking



학회: SN Computer Science


초록

Task scheduling is one of the significant factors for heterogeneous type of elements in multi-cloud computing environment. It is to delegate activities to most adequate resources to raise the performance with respect to some dynamic parameters. The suggested model of scheduling was designed to run applications of cloud computing which applied in three steps (classifying, execution, minimization, and rating) and is assumed to be completion time, average waiting and turnaround time, and render duration as output parameters. The tasks’ execution time in cloud computing applications was created in the task scheduling model by exponential and normal distribution. The task ranking depends on the shortest strategy for First Job and the results are compared with other “Largest Processing Time” and “First Come First Serve” ranking method. Scheduling model proposed provides significant output than per performance parameters specified.


Author Profile
Edeh Michael Onyema

Department of Vocational and Technical Education Faculty of Education Alex Ekwueme Federal University Ndufu-Alike Abakaliki Nigeria

Andorra
Author Profile
Venkataramaiah Gude

Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai 602105 India

Andorra
Author Profile
Ashutosh Bhatt

GP Technologies LLC Texas USA

Guadeloupe

📄 논문 정보

발행 연도 2023년
인용수 18
출판 국가 Andorra, Guadeloupe, Nigeria
사이트 Springer
좋아요 수 0

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